Generative Engine Optimization That Makes You the Brand AI Engines Recommend

Generative engine optimization is the practice of making a brand visible, accurate and recommendable inside answers written by AI systems such as ChatGPT, Gemini, Claude, Perplexity and Copilot. It combines content structured for language models, consistent entity signals on and off your site, deliberate crawler access, and ongoing measurement of which brands the engines actually name.

SEO earns a position in a list of links; GEO earns a mention inside a composed answer. The two share foundations, because most engines retrieve from the live web and lean on search indexes to do it, but they judge pages differently. SEO rewards the page that best matches a query overall; GEO rewards a passage that can be lifted, attributed and corroborated.

Answer engine optimization targets the answer surfaces inside search itself: featured snippets, People Also Ask, voice assistants and Google AI Overviews. GEO targets mentions inside generated chat answers on platforms such as ChatGPT and Perplexity, where there may be no link at all. Much of the content work overlaps, but the measurement and the platform tactics differ, which is why we keep a separate answer engine optimization service.

It depends on where you start. Crawler access and schema changes are usually reflected once the engines recrawl, which can be a matter of weeks. Content restructuring tends to show in the citation logs over the following two or three months. Off-site corroboration is the slowest signal and keeps building after that. We report against your baseline every month, so you see the direction early.

ChatGPT, Gemini (including AI Overviews and AI Mode), Claude, Perplexity and Microsoft Copilot are the five we monitor as standard. Each currently has its own retrieval behaviour and its own crawler, and the platform pages below describe the differences. If your buyers use a platform outside this set, we add it to the prompt set.

No. The people asking generative engines for recommendations include someone choosing a clinic, a law firm, a manufacturer, a school or a property developer. Any category where a buyer asks which option to choose is being answered by these engines today, and the brands named are the ones that prepared for it.

The primary measure is citation share: for a fixed set of prompts run monthly under the same conditions, how often each engine names you against named competitors, and which of your pages it uses. Alongside that we track AI referral traffic where links exist, branded search volume and direct visits, because most mentions carry no link and the demand they create appears elsewhere.

Every engagement is scoped from the audit and quoted individually, because the size of the site, the number of prompts that matter and the strength of your existing footprint all change the work. The cost of waiting is quieter: the engines are already answering your buyers' questions, and each month the brands they name become harder to displace as their citations compound.